import numpy as np
import cv2
import dlib
import dlib_angle

detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor('shape_predictor_68_face_landmarks.dat')

def detect_(img):
	img_gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
	img_gray = cv2.equalizeHist(img_gray)

	rects = detector(img_gray, 0)
	landmarks = []
	for rc in rects:
		landmarks.append(predictor(img,rc).parts())

	angles = dlib_angle.angle(img,rects,landmarks)


	if len(rects) > 0:
		return {
			'detectFace':int(1),
			'x':int(angles[0]['x']),
			'y':int(angles[0]['y']),
			'z':int(angles[0]['z']),
			}
	else:
		return {
			'detectFace':int(0)
			}
